# startup-job-scraper (`oseni03/startup-job-scraper`) Actor

Scrape and normalize startup jobs from Wellfound and Y Combinator’s Work at a Startup. Filter by role, title, location, employment type, experience, salary, and more. Get clean, structured job data for recruiting, job boards, market research, and AI pipelines.

- **URL**: https://apify.com/oseni03/startup-job-scraper.md
- **Developed by:** [Ayomide Oseni](https://apify.com/oseni03) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Startup Job Scraper

Scrape startup jobs from **Wellfound** and **Y Combinator's Work at a Startup** and turn them into clean, structured datasets ready for recruiting, job boards, market research, and AI applications.

### What does Startup Job Scraper do?

Startup Job Scraper extracts job listings from startup-focused job boards and normalizes them into a consistent schema.

#### Supported sources

- **Wellfound** — startup and technology jobs
- **Work at a Startup** — jobs from YC startups

#### Extracted data

Each job can include:

- Job title
- Company name
- Company URL
- Job location
- Remote status
- Employment type
- Salary / compensation
- Minimum and maximum experience
- Job description
- Application URL
- Source URL
- Source job ID
- YC batch information
- Fetch timestamp

The Actor also generates a stable `job_id`, making it easier to deduplicate jobs across sources.

### Filtering

Narrow your results using filters such as:

- `role`
- `titleKeyword`
- `location`
- `remote`
- `employmentType`
- `minExperience`
- `companyStage`
- `companySize`
- `hasSalary`
- `hasEquity`
- `visaSponsorshipNotRequired`
- `sortBy`

You can also select specific sources or scrape from all supported boards.

### Example input

```json
{
  "sources": ["wellfound", "workatastartup"],
  "role": "backend-engineer",
  "titleKeyword": "Python",
  "location": "Remote",
  "remote": "any",
  "employmentType": "full-time",
  "minExperience": 2,
  "maxJobs": 50
}
```

### Example output

```
{
  "job_id": "a8f3...",
  "source": "wellfound",
  "source_job_id": "123456",
  "title": "Backend Engineer",
  "company": "Acme",
  "company_url": "https://wellfound.com/company/acme",
  "location": "Remote",
  "remote_policy": "remote",
  "employment_type": "full-time",
  "salary_min": 100000,
  "salary_max": 150000,
  "salary_currency": "USD",
  "source_url": "https://...",
  "application_url": "https://...",
  "description": "Build scalable backend systems..."
}
```

#### What can you build?

Use the data to:

- Build startup-focused job boards

- Power recruiting and sourcing pipelines

- Monitor startup hiring activity

- Create job alerts and newsletters

- Track hiring trends by role or location

- Build AI-powered job discovery tools

- Research startup hiring markets

- Feed jobs into your own database or search engine

### Run it

1. Open Startup Job Scraper.

2. Configure your sources and filters.

3. Set the maximum number of jobs.

4. Start the Actor.

5. Export the results as JSON, CSV, Excel, or connect the dataset to your application through the Apify API.

### Notes

Job-board HTML and embedded data structures can change over time. Results depend on what the supported sources make publicly available at the time of the run.

More job sources and advanced pagination are planned as the Actor evolves.

# Actor input Schema

## `role` (type: `string`):

Broad role category. Mapped internally to each site's own filter vocabulary. Leave unset to search all roles.

## `titleKeyword` (type: `string`):

Additional substring match against the job title, applied on top of the Role filter. Useful for narrowing further, e.g. 'Senior' or 'Founding'.

## `location` (type: `string`):

City or region, e.g. 'New York'. Used directly in Wellfound's URL path; used as a substring match against job location for Work at a Startup.

## `remote` (type: `string`):

Filter for remote roles. Only affects Work at a Startup — Wellfound's remote filtering isn't wired up yet.

## `employmentType` (type: `string`):

Type of employment to filter for. Applies to Work at a Startup only.

## `minExperience` (type: `integer`):

Minimum years of experience required. Applies to Work at a Startup only.

## `companyStage` (type: `string`):

Company funding stage filter, e.g. 'seed', 'series-a', or 'any'. Applies to Work at a Startup only.

## `companySize` (type: `string`):

Company size filter, e.g. 'seed' or 'any'. Applies to Work at a Startup only.

## `visaSponsorshipNotRequired` (type: `boolean`):

If true, restricts results to roles that don't require US visa sponsorship. Applies to Work at a Startup only.

## `hasSalary` (type: `boolean`):

If true, restricts results to postings that list a salary range. Applies to Work at a Startup only.

## `hasEquity` (type: `boolean`):

If true, restricts results to postings that list equity. Applies to Work at a Startup only.

## `sortBy` (type: `string`):

Sort order applied to results. Applies to Work at a Startup only.

## `sources` (type: `array`):

Which job boards to search.

## `maxJobs` (type: `integer`):

Maximum number of jobs to return across all selected sources combined.

## `proxyConfiguration` (type: `object`):

Optional proxy settings. Recommended for Wellfound if you're getting blocked; usually unnecessary for Work at a Startup.

## `startPage` (type: `integer`):

Which result page to begin crawling from. Use this to skip pages already covered by a previous run, e.g. set to 6 if a prior run with maxPages=5 already covered pages 1-5. Applies to Wellfound only — ignored by Work at a Startup, which has no real pagination.

## `maxPages` (type: `integer`):

How many result pages to paginate through. Hard-capped at 20 regardless of value, to limit blocking risk and cost. Applies to Wellfound only — ignored by Work at a Startup, which has no real pagination.

## `skipDuplicates` (type: `boolean`):

If true (default), jobs already returned by a prior run of this actor are excluded from output. If false, all jobs are returned with an added 'is\_new' flag.

## Actor input object example

```json
{
  "remote": "any",
  "minExperience": 0,
  "companyStage": "any",
  "companySize": "any",
  "visaSponsorshipNotRequired": false,
  "hasSalary": false,
  "hasEquity": false,
  "sortBy": "created_desc",
  "sources": [
    "workatastartup",
    "wellfound"
  ],
  "maxJobs": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "startPage": 1,
  "maxPages": 5,
  "skipDuplicates": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("oseni03/startup-job-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("oseni03/startup-job-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call oseni03/startup-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,oseni03/startup-job-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/qyx7uflTEWD8Tlqa5/builds/N9pSiOYwx3MXxvxrq/openapi.json